At a Glance
- Tasks: Develop data models to enhance decision-making in education.
- Company: Ambition Institute, a leader in educational analytics.
- Benefits: £46,000 salary, 25 days leave, pension, and hybrid working.
- Other info: Join a dynamic team dedicated to improving educational outcomes.
- Why this job: Make a real impact on education while working with data.
- Qualifications: Strong programming skills in Python or R, and SQL experience.
The predicted salary is between 46000 - 46000 £ per year.
Ambition Institute is looking for a Data Scientist to join their Insights team in London. This permanent, full-time role involves developing data models and systems that drive better decision-making in education.
Candidates should have strong programming skills in Python or R, experience with SQL, and familiarity with Azure. The position allows hybrid working, requiring onsite presence at least once a month, and contributes to impactful educational initiatives.
Salary is set at £46,000 per year with various benefits including 25 days annual leave and a pension contribution.
Impactful Data Scientist - Education Analytics employer: Ambition Institute
Contact Detail:
Ambition Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Impactful Data Scientist - Education Analytics
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Ambition Institute on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data models and analytics projects. This is our chance to demonstrate how we can drive better decision-making in education.
✨Tip Number 3
Ace the interview! Research common data science interview questions and practice coding challenges in Python or R. We want to be ready to impress with our technical skills and problem-solving abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how we align with Ambition Institute's mission.
We think you need these skills to ace Impactful Data Scientist - Education Analytics
Some tips for your application 🫡
Show Your Passion for Education: When writing your application, let us see your enthusiasm for education analytics. Share any relevant experiences or projects that highlight your commitment to making a difference in the education sector.
Highlight Your Technical Skills: Make sure to showcase your programming skills in Python or R, and your experience with SQL. We want to see how you can leverage these tools to develop impactful data models, so don’t hold back on the details!
Tailor Your Application: Customise your CV and cover letter to align with the job description. Mention your familiarity with Azure and how it relates to the role. This shows us that you’ve done your homework and are genuinely interested in joining our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Ambition Institute
✨Know Your Data Tools
Make sure you brush up on your programming skills in Python or R, as well as your SQL knowledge. Be ready to discuss specific projects where you've used these tools to drive decision-making, especially in an educational context.
✨Showcase Your Analytical Mindset
Prepare to talk about how you've developed data models and systems in the past. Think of examples that highlight your problem-solving skills and how your insights have led to impactful decisions in education or similar fields.
✨Familiarise Yourself with Azure
Since familiarity with Azure is a requirement, take some time to understand its features and how it can be applied in data science. You might even want to mention any relevant experience you have with cloud computing during the interview.
✨Emphasise Your Passion for Education
Ambition Institute is all about making a difference in education. Be prepared to express why you're passionate about using data to improve educational outcomes and how you see yourself contributing to their mission.